earticle

영어

The significance of role of biomass of tree species in carbon sequestration had long been recognized, but very little attempts have been made to estimate the biomass accumulation and their contribution for sequestration of carbon, especially in mined out areas. Selection of ideal species for carbon sequestration is very important step for restoration of reduced ecosystem. Tectona grandis and Gmelina arborea belonging to family Verbenaceae, are most widely distributed and economically important timber species in India. In the present paper, attempts were made to work out biomass accumulation and carbon sequestration of these species raised in age series of plantations on coal mine overburden of Singrauli, M.P, India, adopting non harvest technique using following steps: volume over bark (vob), standing biomass, carbon of standing tree, biomass accumulation and carbon sequestration and finally, preparation of biomass and carbon tables. On the basis of maximum correlation coefficient and minimum standard error, the best fit equations were computed to be VOB = -0.017 + 0.003D + 0.0014H + 1.899 x 10-5 D2H (R2 =0.986, SE = 0.0049702113); and VOB = -0.009 + 0.003D + 0.000D2 + 4.889x10-5 D2H (R2= 0.979, SE = 0.0070497) for Gmelina arborea and Tectona grandis, respectively and Where, VOB = volume over bark in CMT; D= diameter at breast height in cm; H= total tree height in meter. The growth data was collected for 49 trees of Gmelina arborea and 72 trees of Tectona grandis (above 5 cm diameter at breast height) covering the over burden plantations of Northern Coal Field Limited, Singrauli (M.P.), India. The best fit equation was then applied to determine the accumulation of total biomass (above- and below- ground) and carbon content adopting IPCC guidelines. The trees were selected in plantations of all available ages representing different diameters and heights. The linear correlation between basal area vs volume, DBH vs volume and basal area vs total biomass was found to be significant in both the species. The values of R2 were closer to +1 which indicated the better line fits of the data.